Name
Abstract | ||
|---|---|---|
One major shortcoming of existing bi-scale material design systems is the lack of support for inverse design: there is no way to directly edit the large-scale appearance and then rapidly solve for the small-scale details that approximate that look. Prior work is either too slow to provide quick feedback, or limited in the types of small-scale details that can be handled. We present a novel computational framework for inverse bi-scale material design. The key idea is to convert the challenging inverse appearance computation into efficient search in two precomputed large libraries: one including a wide range of measured and analytical materials, and the other procedurally generated and height-map-based geometries. We demonstrate a variety of editing operations, including finding visually equivalent details that produce similar large-scale appearance, which can be useful in applications such as physical fabrication of materials. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2508363.2508394 | ACM Trans. Graph. |
Keywords | Field | DocType |
large-scale appearance,challenging inverse appearance computation,efficient search,inverse design,inverse bi-scale material design,editing operation,analytical material,similar large-scale appearance,bi-scale material design system,small-scale detail | Inverse,Mathematical optimization,Computer science,Material Design,Computation | Journal |
Volume | Issue | ISSN |
32 | 6 | 0730-0301 |
Citations | PageRank | References |
2 | 0.37 | 28 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongzhi Wu | 1 | 218 | 11.05 |
| Julie Dorsey | 2 | 2535 | 182.80 |
| Holly Rushmeier | 3 | 2294 | 334.25 |